References
- Bermúdez, L. (2009). A priori ratemaking using bivariate Poisson regression models. Insurance: Mathematics and Economics 44 (1), 135–141.
- Bermúdez, L. & Karlis, D. (2011). Bayesian multivariate Poisson models for insurance ratemaking. Insurance: Mathematics and Economics 48 (2), 226–236.
- Bermúdez, L. & Karlis, D. (2012). Finite mixture of bivariate Poisson regression models with an application to insurance ratemaking. Computational Statistics and Data Analysis 56, 3988–3999.
- Bühlmann, H. & Gisler, A. (2005). A course in credibility theory and its applications. Berlin: Springer.
- Denuit, M., Marechal, X., Pitrebois, S. & Walhin, J.-F. (2007). Actuarial modelling of claim counts: risk classification, credibility and bonus-malus systems. New York: Wiley.
- Dionne, G. & Vanasse, C. (1989). A generalization of actuarial automobile insurance rating models: the negative binomial distribution with a regression component. ASTIN Bulletin 19 (2), 199–212.
- Englund, M., Guillén, M., Gustafsson, J., Nielsen, L. H. & Nielsen, J. P. (2008). Multivariate latent risk: a credibility approach. ASTIN Bulletin 38 (1), 137–146.
- Frees, E. W. (2003). Multivariate credibility for aggregate loss models. North American Actuarial Journal 7 (1), 13–27.
- Johnson, N., Kotz, S. & Balakrishnan, N. (1997). Multivariate discrete distributions. New York: Wiley.
- Karlis, D. & Tsiamyrtzis, P. (2008). Exact Bayesian modeling for bivariate Poisson data and extensions. Statistics and Computing 18 (1), 27–40.
- Kocherlakota, S. & Kocherlakota, K. (1992). Bivariate discrete distributions, statistics: textbooks and monographs, vol. 132. New York: Markel Dekker.
- Pinquet, J. (1998). Designing optimal bonus-malus systems from different types of claims. ASTIN Bulletin 28 (2), 205–220.
- Subrahmaniam, K. (1966). A test for “intrinsic correlation” in the theory of accident proneness. Journal of the Royal Statistical Society. Series B (Methodological) 28 (1), 180–189.